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  ***NeurIPS 2026 Evaluations and Datasets Submission - Under Review***
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- This repository contains the dataset presented in the paper *"A VLM Framework to Optimize the Analysis of Analog Circuit Layouts"*, along with the code for training and evaluating Visual Language Models (VLMs) on analog circuit layouts analysis tasks.
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  The project addresses the challenge of interpreting technical diagrams by benchmarking VLMs on tasks ranging from single device identification to component counting in complex mixed circuits.
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  ***NeurIPS 2026 Evaluations and Datasets Submission - Under Review***
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+ This repository contains the dataset presented in the paper *"THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout"*, along with the code for training and evaluating Visual Language Models (VLMs) on analog circuit layouts analysis tasks.
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  The project addresses the challenge of interpreting technical diagrams by benchmarking VLMs on tasks ranging from single device identification to component counting in complex mixed circuits.
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